Hand Gesture Recognition via Lightweight VGG16 and Ensemble Classifier

Keyphrases

• VGG16 100%
• Hand Gesture Recognition 100%
• Ensemble Classifier 100%
• Vision-based 60%
• Feature Extraction Methods 40%
• Random Forest 40%
• American Sign Language 40%
• Automatic Feature Extraction 40%
• Machine Learning Techniques 20%
• Deep Learning Methods 20%
• Computer Vision 20%
• Machine Learning Approach 20%
• Traditional Machine Learning 20%
• Convolutional Neural Network 20%
• Sign Language 20%
• Pattern Recognition 20%
• Publicly Available Dataset 20%
• Means of Communication 20%
• Physical Movement 20%
• Background Light 20%
• Gesture Recognition 20%
• Vision Recognition 20%
• Hybrid Network Architecture 20%
• Environment Interaction 20%
• Hand Posture 20%

Computer Science

• hand gesture recognition 100%
• ensemble classifier 100%
• Feature Extraction 60%
• Random Decision Forest 40%
• Machine Learning 20%
• Computer Vision 20%
• Experimental Result 20%
• Convolutional Neural Network 20%
• Deep Learning Technique 20%
• Machine Learning Approach 20%
• Network Architecture 20%
• Pattern Recognition 20%
• Hybrid Network 20%
• Physical Movement 20%
• Gesture Recognition 20%
• Environment Interaction 20%